Gaps in Knowledge About COVID-19 Among US Residents Early in the Outbreak

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Objectives

The novel coronavirus disease 2019 (COVID-19) resulting from severe acute respiratory syndrome coronavirus 2 began to affect the United States in early 2020. This study aimed to assess the US public’s initial understanding about the disease and virus to inform public health communication efforts.

Methods

We conducted a survey of US households from February 28 through March 2, 2020, using a probability-based web-panel survey of 1021 US residents. To assess knowledge about COVID-19, we asked respondents a series of 16 true/false questions. We conducted descriptive statistics and linear regression analyses to examine differences in knowledge scores based on demographic and background characteristics.

Results

Knowledge about COVID-19 and the virus was relatively low overall at the beginning of the outbreak, with average scores of 62% on a 16-item knowledge index (ie, answers for 6 of the 16 questions were incorrect or unknown). Knowledge was especially low among people who had low education and income levels, were unemployed, were Hispanic, were non-Hispanic Black, were aged 18-24 and 35-49, indicated having “other” health insurance, and had limited exposure to information about the pandemic. Non-Hispanic Black respondents were less knowledgeable about COVID-19 and the virus at every education level compared with non-Hispanic White respondents at higher education levels. Non-Hispanic Black respondents with <high school degree were the least knowledgeable of all subgroups.

Conclusions

The findings of our study highlight the need for widespread, ongoing public health education about the virus and COVID-19, especially among certain populations. It is critical to effectively translate complex clinical and epidemiologic evidence into messages that most people can understand and act on during a pandemic, that combat misinformation about the virus and COVID-19, and that consider low levels of health literacy.

Related collections

Most cited references 17

Record: found
Abstract: found
Article: not found

Clinical Characteristics of Coronavirus Disease 2019 in China

Wei-jie Guan, Zheng-yi Ni, Yu Hu … (2020)

Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)

0 comments Cited 13752 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

Qun Li, Xuhua Guan, Peng Wu … (2020)

Abstract Background The initial cases of novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic characteristics of NCIP. Methods We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by January 22, 2020. We described characteristics of the cases and estimated the key epidemiologic time-delay distributions. In the early period of exponential growth, we estimated the epidemic doubling time and the basic reproductive number. Results Among the first 425 patients with confirmed NCIP, the median age was 59 years and 56% were male. The majority of cases (55%) with onset before January 1, 2020, were linked to the Huanan Seafood Wholesale Market, as compared with 8.6% of the subsequent cases. The mean incubation period was 5.2 days (95% confidence interval [CI], 4.1 to 7.0), with the 95th percentile of the distribution at 12.5 days. In its early stages, the epidemic doubled in size every 7.4 days. With a mean serial interval of 7.5 days (95% CI, 5.3 to 19), the basic reproductive number was estimated to be 2.2 (95% CI, 1.4 to 3.9). Conclusions On the basis of this information, there is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019. Considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere. Measures to prevent or reduce transmission should be implemented in populations at risk. (Funded by the Ministry of Science and Technology of China and others.)